MétaCan
Menu
Back to cohort

INFLUÊNCIA DA FAMÍLIA NA FORMAÇÃO DOS HÁBITOS ALIMENTARES E ESTILOS DE VIDA NA INFÂNCIA

2020· article· pt· W3114639413 on OpenAlexaff
Cláudia Thomé da Rosa Piasetzki, Eva Teresinha de Oliveira Boff, Iara Denise Endruweit Battisti

Bibliographic record

VenueRevista Contexto & Saúde · 2020
Typearticle
Languagept
FieldHealth Professions
TopicHealthcare Regulation
Canadian institutionsQUAD Engineering (Canada)
Fundersnot available
KeywordsHumanitiesPsychologyArt

Abstract

fetched live from OpenAlex

Objective: To analyze the family influence on eating habits and lifestyle development in children. Methods: In this study participated 100 children and their respective relatives (100). The data were collected from a questionnaire and anthropometric evaluation. The study population corresponds to the total number of students, aged 2 to 12 years old, from two municipal schools where the research took place. Results: Most children (57%) presented eutrophic, but the overweight and obesity number was relevant. Both children and their families use a lot of digital technology. The family showed influence on the number of children's meals, fruit consumption, vegetables and sweets, and physical activity, as well as learning about healthy eating. Conclusion: The family members influence on eating habits and lifestyle development in childhood, but the school is an important place to promote healthy eating.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.038
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.201
GPT teacher head0.467
Teacher spread0.266 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations7
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueRevista Contexto & SaúdeSame topicHealthcare RegulationFrench-language works237,207